{
    "description": "A hierarchical supervisor agent that plan the steps, and delegate tasks to worker agents based on user query",
    "usecases": ["Hierarchical Agent Teams"],
    "nodes": [
        {
            "id": "startAgentflow_0",
            "type": "agentFlow",
            "position": {
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            "data": {
                "id": "startAgentflow_0",
                "label": "Start",
                "version": 1.1,
                "name": "startAgentflow",
                "type": "Start",
                "color": "#7EE787",
                "hideInput": true,
                "baseClasses": ["Start"],
                "category": "Agent Flows",
                "description": "Starting point of the agentflow",
                "inputParams": [
                    {
                        "label": "Input Type",
                        "name": "startInputType",
                        "type": "options",
                        "options": [
                            {
                                "label": "Chat Input",
                                "name": "chatInput",
                                "description": "Start the conversation with chat input"
                            },
                            {
                                "label": "Form Input",
                                "name": "formInput",
                                "description": "Start the workflow with form inputs"
                            }
                        ],
                        "default": "chatInput",
                        "id": "startAgentflow_0-input-startInputType-options",
                        "display": true
                    },
                    {
                        "label": "Form Title",
                        "name": "formTitle",
                        "type": "string",
                        "placeholder": "Please Fill Out The Form",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "id": "startAgentflow_0-input-formTitle-string",
                        "display": false
                    },
                    {
                        "label": "Form Description",
                        "name": "formDescription",
                        "type": "string",
                        "placeholder": "Complete all fields below to continue",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "id": "startAgentflow_0-input-formDescription-string",
                        "display": false
                    },
                    {
                        "label": "Form Input Types",
                        "name": "formInputTypes",
                        "description": "Specify the type of form input",
                        "type": "array",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "array": [
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Options",
                                        "name": "options"
                                    }
                                ],
                                "default": "string"
                            },
                            {
                                "label": "Label",
                                "name": "label",
                                "type": "string",
                                "placeholder": "Label for the input"
                            },
                            {
                                "label": "Variable Name",
                                "name": "name",
                                "type": "string",
                                "placeholder": "Variable name for the input (must be camel case)",
                                "description": "Variable name must be camel case. For example: firstName, lastName, etc."
                            },
                            {
                                "label": "Add Options",
                                "name": "addOptions",
                                "type": "array",
                                "show": {
                                    "formInputTypes[$index].type": "options"
                                },
                                "array": [
                                    {
                                        "label": "Option",
                                        "name": "option",
                                        "type": "string"
                                    }
                                ]
                            }
                        ],
                        "id": "startAgentflow_0-input-formInputTypes-array",
                        "display": false
                    },
                    {
                        "label": "Ephemeral Memory",
                        "name": "startEphemeralMemory",
                        "type": "boolean",
                        "description": "Start fresh for every execution without past chat history",
                        "optional": true
                    },
                    {
                        "label": "Flow State",
                        "name": "startState",
                        "description": "Runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string",
                                "placeholder": "Foo"
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "placeholder": "Bar"
                            }
                        ],
                        "id": "startAgentflow_0-input-startState-array",
                        "display": true
                    },
                    {
                        "label": "Persist State",
                        "name": "startPersistState",
                        "type": "boolean",
                        "description": "Persist the state in the same session",
                        "optional": true,
                        "id": "startAgentflow_0-input-startPersistState-boolean",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "startInputType": "chatInput",
                    "formTitle": "",
                    "formDescription": "",
                    "formInputTypes": "",
                    "startState": [
                        {
                            "key": "next",
                            "value": ""
                        },
                        {
                            "key": "instruction",
                            "value": ""
                        }
                    ]
                },
                "outputAnchors": [
                    {
                        "id": "startAgentflow_0-output-startAgentflow",
                        "label": "Start",
                        "name": "startAgentflow"
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            "height": 66,
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            "dragging": false
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            "id": "conditionAgentflow_0",
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            "data": {
                "id": "conditionAgentflow_0",
                "label": "Check next worker",
                "version": 1,
                "name": "conditionAgentflow",
                "type": "Condition",
                "color": "#FFB938",
                "baseClasses": ["Condition"],
                "category": "Agent Flows",
                "description": "Split flows based on If Else conditions",
                "inputParams": [
                    {
                        "label": "Conditions",
                        "name": "conditions",
                        "type": "array",
                        "description": "Values to compare",
                        "acceptVariable": true,
                        "default": [
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                                "type": "string",
                                "value1": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.next\" data-label=\"$flow.state.next\">{{ $flow.state.next }}</span> </p>",
                                "operation": "equal",
                                "value2": "<p>SOFTWARE</p>"
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                        ],
                        "array": [
                            {
                                "label": "Type",
                                "name": "type",
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                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
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                                ],
                                "default": "string"
                            },
                            {
                                "label": "Value 1",
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                                "description": "First value to be compared with",
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                                "show": {
                                    "conditions[$index].type": "string"
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                            },
                            {
                                "label": "Operation",
                                "name": "operation",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "Contains",
                                        "name": "contains"
                                    },
                                    {
                                        "label": "Ends With",
                                        "name": "endsWith"
                                    },
                                    {
                                        "label": "Equal",
                                        "name": "equal"
                                    },
                                    {
                                        "label": "Not Contains",
                                        "name": "notContains"
                                    },
                                    {
                                        "label": "Not Equal",
                                        "name": "notEqual"
                                    },
                                    {
                                        "label": "Regex",
                                        "name": "regex"
                                    },
                                    {
                                        "label": "Starts With",
                                        "name": "startsWith"
                                    },
                                    {
                                        "label": "Is Empty",
                                        "name": "isEmpty"
                                    },
                                    {
                                        "label": "Not Empty",
                                        "name": "notEmpty"
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                                ],
                                "default": "equal",
                                "description": "Type of operation",
                                "show": {
                                    "conditions[$index].type": "string"
                                }
                            },
                            {
                                "label": "Value 2",
                                "name": "value2",
                                "type": "string",
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                                "description": "Second value to be compared with",
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                                "show": {
                                    "conditions[$index].type": "number"
                                }
                            },
                            {
                                "label": "Operation",
                                "name": "operation",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "Smaller",
                                        "name": "smaller"
                                    },
                                    {
                                        "label": "Smaller Equal",
                                        "name": "smallerEqual"
                                    },
                                    {
                                        "label": "Equal",
                                        "name": "equal"
                                    },
                                    {
                                        "label": "Not Equal",
                                        "name": "notEqual"
                                    },
                                    {
                                        "label": "Larger",
                                        "name": "larger"
                                    },
                                    {
                                        "label": "Larger Equal",
                                        "name": "largerEqual"
                                    },
                                    {
                                        "label": "Is Empty",
                                        "name": "isEmpty"
                                    },
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                                        "label": "Not Empty",
                                        "name": "notEmpty"
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                                ],
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                            {
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                                "name": "value2",
                                "type": "number",
                                "default": 0,
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                                "show": {
                                    "conditions[$index].type": "boolean"
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                            }
                        ],
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                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "conditions": [
                        {
                            "type": "string",
                            "value1": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.next\" data-label=\"$flow.state.next\">{{ $flow.state.next }}</span> </p>",
                            "operation": "equal",
                            "value2": "<p>SOFTWARE</p>"
                        },
                        {
                            "type": "string",
                            "value1": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.next\" data-label=\"$flow.state.next\">{{ $flow.state.next }}</span> </p>",
                            "operation": "equal",
                            "value2": "<p>REVIEWER</p>"
                        }
                    ]
                },
                "outputAnchors": [
                    {
                        "id": "conditionAgentflow_0-output-0",
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                        "name": 0,
                        "description": "Condition 0"
                    },
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                        "id": "conditionAgentflow_0-output-1",
                        "label": 1,
                        "name": 1,
                        "description": "Condition 1"
                    },
                    {
                        "id": "conditionAgentflow_0-output-2",
                        "label": 2,
                        "name": 2,
                        "description": "Else"
                    }
                ],
                "outputs": {
                    "conditionAgentflow": ""
                },
                "selected": false
            },
            "type": "agentFlow",
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            "height": 100,
            "selected": false,
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        },
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            "id": "agentAgentflow_1",
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            "data": {
                "id": "agentAgentflow_1",
                "label": "Software Engineer",
                "version": 1,
                "name": "agentAgentflow",
                "type": "Agent",
                "color": "#4DD0E1",
                "baseClasses": ["Agent"],
                "category": "Agent Flows",
                "description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "agentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "agentAgentflow_1-input-agentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Messages",
                        "name": "agentMessages",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Role",
                                "name": "role",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "System",
                                        "name": "system"
                                    },
                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "agentAgentflow_1-input-agentMessages-array",
                        "display": true
                    },
                    {
                        "label": "Tools",
                        "name": "agentTools",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Tool",
                                "name": "agentSelectedTool",
                                "type": "asyncOptions",
                                "loadMethod": "listTools",
                                "loadConfig": true
                            },
                            {
                                "label": "Require Human Input",
                                "name": "agentSelectedToolRequiresHumanInput",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "id": "agentAgentflow_1-input-agentTools-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "agentKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
                                "type": "asyncOptions",
                                "loadMethod": "listStores"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
                                "type": "string",
                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_1-input-agentKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Vector Embeddings)",
                        "name": "agentKnowledgeVSEmbeddings",
                        "type": "array",
                        "description": "Give your agent context about different document sources from existing vector stores and embeddings",
                        "array": [
                            {
                                "label": "Vector Store",
                                "name": "vectorStore",
                                "type": "asyncOptions",
                                "loadMethod": "listVectorStores",
                                "loadConfig": true
                            },
                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
                                "type": "asyncOptions",
                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
                            },
                            {
                                "label": "Knowledge Name",
                                "name": "knowledgeName",
                                "type": "string",
                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
                                "type": "string",
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_0-input-agentKnowledgeVSEmbeddings-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_1-input-agentEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "agentMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_1-input-agentMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "agentMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "agentMemoryType": "windowSize"
                        },
                        "id": "agentAgentflow_1-input-agentMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "agentMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "agentMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "agentAgentflow_1-input-agentMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "agentUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
                        "rows": 4,
                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_1-input-agentUserMessage-string",
                        "display": true
                    },
                    {
                        "label": "Return Response As",
                        "name": "agentReturnResponseAs",
                        "type": "options",
                        "options": [
                            {
                                "label": "User Message",
                                "name": "userMessage"
                            },
                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
                            }
                        ],
                        "default": "userMessage",
                        "id": "agentAgentflow_1-input-agentReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "agentUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "agentAgentflow_1-input-agentUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "agentModel": "chatOpenAI",
                    "agentMessages": [
                        {
                            "role": "system",
                            "content": "<p>As a Senior Software Engineer, you are a pivotal part of our innovative development team. Your expertise and leadership drive the creation of robust, scalable software solutions that meet the needs of our diverse clientele. By applying best practices in software development, you ensure that our products are reliable, efficient, and maintainable.</p><p>Your goal is to lead the development of high-quality software solutions.</p><p>Utilize your deep technical knowledge and experience to architect, design, and implement software systems that address complex problems. Collaborate closely with other engineers, reviewers to ensure that the solutions you develop align with business objectives and user needs.</p><p>Design and implement new feature for the given task, ensuring it integrates seamlessly with existing systems and meets performance requirements. Use your understanding of React, Tailwindcss, NodeJS to build this feature. Make sure to adhere to our coding standards and follow best practices.</p><p>The output should be a fully functional, well-documented feature that enhances our product's capabilities. Include detailed comments in the code.</p>"
                        }
                    ],
                    "agentTools": "",
                    "agentKnowledgeDocumentStores": "",
                    "agentEnableMemory": true,
                    "agentMemoryType": "allMessages",
                    "agentUserMessage": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.instruction\" data-label=\"$flow.state.instruction\">{{ $flow.state.instruction }}</span></p>",
                    "agentReturnResponseAs": "userMessage",
                    "agentUpdateState": "",
                    "agentModelConfig": {
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                        "modelName": "gpt-4o-mini",
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                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "",
                        "agentModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "agentAgentflow_1-output-agentAgentflow",
                        "label": "Agent",
                        "name": "agentAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
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            "dragging": false
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        {
            "id": "agentAgentflow_2",
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            "data": {
                "id": "agentAgentflow_2",
                "label": "Code Reviewer",
                "version": 1,
                "name": "agentAgentflow",
                "type": "Agent",
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                "baseClasses": ["Agent"],
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                "inputParams": [
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                        "label": "Model",
                        "name": "agentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "agentAgentflow_2-input-agentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Messages",
                        "name": "agentMessages",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Role",
                                "name": "role",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "System",
                                        "name": "system"
                                    },
                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "agentAgentflow_2-input-agentMessages-array",
                        "display": true
                    },
                    {
                        "label": "Tools",
                        "name": "agentTools",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Tool",
                                "name": "agentSelectedTool",
                                "type": "asyncOptions",
                                "loadMethod": "listTools",
                                "loadConfig": true
                            },
                            {
                                "label": "Require Human Input",
                                "name": "agentSelectedToolRequiresHumanInput",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "id": "agentAgentflow_2-input-agentTools-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "agentKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
                                "type": "asyncOptions",
                                "loadMethod": "listStores"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
                                "type": "string",
                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_2-input-agentKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Vector Embeddings)",
                        "name": "agentKnowledgeVSEmbeddings",
                        "type": "array",
                        "description": "Give your agent context about different document sources from existing vector stores and embeddings",
                        "array": [
                            {
                                "label": "Vector Store",
                                "name": "vectorStore",
                                "type": "asyncOptions",
                                "loadMethod": "listVectorStores",
                                "loadConfig": true
                            },
                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
                                "type": "asyncOptions",
                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
                            },
                            {
                                "label": "Knowledge Name",
                                "name": "knowledgeName",
                                "type": "string",
                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
                                "type": "string",
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_2-input-agentKnowledgeVSEmbeddings-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_2-input-agentEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "agentMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_2-input-agentMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "agentMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "agentMemoryType": "windowSize"
                        },
                        "id": "agentAgentflow_2-input-agentMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "agentMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "agentMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "agentAgentflow_2-input-agentMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "agentUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
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                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_2-input-agentUserMessage-string",
                        "display": true
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                    {
                        "label": "Return Response As",
                        "name": "agentReturnResponseAs",
                        "type": "options",
                        "options": [
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                                "label": "User Message",
                                "name": "userMessage"
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                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
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                        ],
                        "default": "userMessage",
                        "id": "agentAgentflow_2-input-agentReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "agentUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
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                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
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                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
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                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
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                        ],
                        "id": "agentAgentflow_2-input-agentUpdateState-array",
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                    "agentKnowledgeDocumentStores": "",
                    "agentEnableMemory": true,
                    "agentMemoryType": "allMessages",
                    "agentUserMessage": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.instruction\" data-label=\"$flow.state.instruction\">{{ $flow.state.instruction }}</span></p>",
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                        "credential": "",
                        "modelName": "gpt-4o-mini",
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                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "",
                        "agentModel": "chatOpenAI"
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                },
                "outputAnchors": [
                    {
                        "id": "agentAgentflow_2-output-agentAgentflow",
                        "label": "Agent",
                        "name": "agentAgentflow"
                    }
                ],
                "outputs": {},
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            },
            "type": "agentFlow",
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        {
            "id": "agentAgentflow_3",
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            "data": {
                "id": "agentAgentflow_3",
                "label": "Generate Final Answer",
                "version": 1,
                "name": "agentAgentflow",
                "type": "Agent",
                "color": "#4DD0E1",
                "baseClasses": ["Agent"],
                "category": "Agent Flows",
                "description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
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                        "label": "Model",
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                        "display": true
                    },
                    {
                        "label": "Messages",
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                        "optional": true,
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                                "label": "Role",
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                                        "label": "Assistant",
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                                    {
                                        "label": "Developer",
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                                    {
                                        "label": "User",
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                            },
                            {
                                "label": "Content",
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                                "generateInstruction": true,
                                "rows": 4
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                        ],
                        "id": "agentAgentflow_3-input-agentMessages-array",
                        "display": true
                    },
                    {
                        "label": "Tools",
                        "name": "agentTools",
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                        "array": [
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                                "label": "Tool",
                                "name": "agentSelectedTool",
                                "type": "asyncOptions",
                                "loadMethod": "listTools",
                                "loadConfig": true
                            },
                            {
                                "label": "Require Human Input",
                                "name": "agentSelectedToolRequiresHumanInput",
                                "type": "boolean",
                                "optional": true
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                        ],
                        "id": "agentAgentflow_3-input-agentTools-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "agentKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
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                                "loadMethod": "listStores"
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                            {
                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
                                "type": "string",
                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
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                                "optional": true
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                        "optional": true,
                        "id": "agentAgentflow_3-input-agentKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Vector Embeddings)",
                        "name": "agentKnowledgeVSEmbeddings",
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                        "description": "Give your agent context about different document sources from existing vector stores and embeddings",
                        "array": [
                            {
                                "label": "Vector Store",
                                "name": "vectorStore",
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                                "loadMethod": "listVectorStores",
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                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
                                "type": "asyncOptions",
                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
                            },
                            {
                                "label": "Knowledge Name",
                                "name": "knowledgeName",
                                "type": "string",
                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
                                "type": "string",
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_3-input-agentKnowledgeVSEmbeddings-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_3-input-agentEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "agentMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_3-input-agentMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "agentMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "agentMemoryType": "windowSize"
                        },
                        "id": "agentAgentflow_3-input-agentMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "agentMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "agentMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "agentAgentflow_3-input-agentMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "agentUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
                        "rows": 4,
                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_3-input-agentUserMessage-string",
                        "display": true
                    },
                    {
                        "label": "Return Response As",
                        "name": "agentReturnResponseAs",
                        "type": "options",
                        "options": [
                            {
                                "label": "User Message",
                                "name": "userMessage"
                            },
                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
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                        ],
                        "default": "userMessage",
                        "id": "agentAgentflow_3-input-agentReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
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                                "loadMethod": "listRuntimeStateKeys",
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                                "label": "Value",
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                                "acceptNodeOutputAsVariable": true
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                ],
                "inputAnchors": [],
                "inputs": {
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                    "agentEnableMemory": true,
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                    "agentUserMessage": "<p>Given the above conversations, generate a detail solution developed by the software engineer and code reviewer. </p><p>Your guiding principles:</p><ol><li><p><strong>Preserve Full Context</strong><br>Include all code implementations, improvements and review from the conversation. Do not omit, summarize, or oversimplify key information.</p></li><li><p><strong>Markdown Output Only</strong><br>Your final output must be in Markdown format.</p></li></ol>",
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                        "modelName": "gemini-2.5-flash-preview-05-20",
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                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "llmAgentflow_0-input-llmMessages-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "llmEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "llmAgentflow_0-input-llmEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "llmMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "llmEnableMemory": true
                        },
                        "id": "llmAgentflow_0-input-llmMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "llmMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "llmMemoryType": "windowSize"
                        },
                        "id": "llmAgentflow_0-input-llmMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "llmMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "llmMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "llmAgentflow_0-input-llmMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "llmUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
                        "rows": 4,
                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "llmEnableMemory": true
                        },
                        "id": "llmAgentflow_0-input-llmUserMessage-string",
                        "display": true
                    },
                    {
                        "label": "Return Response As",
                        "name": "llmReturnResponseAs",
                        "type": "options",
                        "options": [
                            {
                                "label": "User Message",
                                "name": "userMessage"
                            },
                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
                            }
                        ],
                        "default": "userMessage",
                        "id": "llmAgentflow_0-input-llmReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "JSON Structured Output",
                        "name": "llmStructuredOutput",
                        "description": "Instruct the LLM to give output in a JSON structured schema",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string"
                            },
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "String Array",
                                        "name": "stringArray"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Enum",
                                        "name": "enum"
                                    },
                                    {
                                        "label": "JSON Array",
                                        "name": "jsonArray"
                                    }
                                ]
                            },
                            {
                                "label": "Enum Values",
                                "name": "enumValues",
                                "type": "string",
                                "placeholder": "value1, value2, value3",
                                "description": "Enum values. Separated by comma",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "enum"
                                }
                            },
                            {
                                "label": "JSON Schema",
                                "name": "jsonSchema",
                                "type": "code",
                                "placeholder": "{\n    \"answer\": {\n        \"type\": \"string\",\n        \"description\": \"Value of the answer\"\n    },\n    \"reason\": {\n        \"type\": \"string\",\n        \"description\": \"Reason for the answer\"\n    },\n    \"optional\": {\n        \"type\": \"boolean\"\n    },\n    \"count\": {\n        \"type\": \"number\"\n    },\n    \"children\": {\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"value\": {\n                    \"type\": \"string\",\n                    \"description\": \"Value of the children's answer\"\n                }\n            }\n        }\n    }\n}",
                                "description": "JSON schema for the structured output",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "jsonArray"
                                }
                            },
                            {
                                "label": "Description",
                                "name": "description",
                                "type": "string",
                                "placeholder": "Description of the key"
                            }
                        ],
                        "id": "llmAgentflow_0-input-llmStructuredOutput-array",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "llmUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "llmAgentflow_0-input-llmUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "llmModel": "chatOpenAI",
                    "llmMessages": [
                        {
                            "role": "system",
                            "content": "<p>You are a supervisor tasked with managing a conversation between the following workers:</p><p>- Software Engineer</p><p>- Code Reviewer</p><p>Given the following user request, respond with the worker to act next.</p><p>Each worker will perform a task and respond with their results and status.</p><p>When finished, respond with FINISH.</p><p>Select strategically to minimize the number of steps taken.</p>"
                        }
                    ],
                    "llmEnableMemory": true,
                    "llmMemoryType": "allMessages",
                    "llmUserMessage": "<p>Given the conversation above, who should act next? Or should we FINISH? Select one of: SOFTWARE, REVIEWER</p>",
                    "llmReturnResponseAs": "userMessage",
                    "llmStructuredOutput": [
                        {
                            "key": "next",
                            "type": "enum",
                            "enumValues": "FINISH, SOFTWARE, REVIEWER",
                            "jsonSchema": "",
                            "description": "next worker to act"
                        },
                        {
                            "key": "instructions",
                            "type": "string",
                            "enumValues": "",
                            "jsonSchema": "",
                            "description": "The specific instructions of the sub-task the next worker should accomplish."
                        },
                        {
                            "key": "reasoning",
                            "type": "string",
                            "enumValues": "",
                            "jsonSchema": "",
                            "description": "The reason why next worker is tasked to do the job"
                        }
                    ],
                    "llmUpdateState": [
                        {
                            "key": "next",
                            "value": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"output.next\" data-label=\"output.next\">{{ output.next }}</span> </p>"
                        },
                        {
                            "key": "instruction",
                            "value": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"output.instructions\" data-label=\"output.instructions\">{{ output.instructions }}</span> </p>"
                        }
                    ],
                    "llmModelConfig": {
                        "cache": "",
                        "modelName": "gpt-4.1",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "reasoningEffort": "",
                        "llmModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "llmAgentflow_0-output-llmAgentflow",
                        "label": "LLM",
                        "name": "llmAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 148,
            "height": 72,
            "selected": false,
            "positionAbsolute": {
                "x": -60.01488766486309,
                "y": 87.88377139143167
            },
            "dragging": false
        }
    ],
    "edges": [
        {
            "source": "startAgentflow_0",
            "sourceHandle": "startAgentflow_0-output-startAgentflow",
            "target": "llmAgentflow_0",
            "targetHandle": "llmAgentflow_0",
            "data": {
                "sourceColor": "#7EE787",
                "targetColor": "#64B5F6",
                "isHumanInput": false
            },
            "type": "agentFlow",
            "id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-llmAgentflow_0-llmAgentflow_0"
        },
        {
            "source": "llmAgentflow_0",
            "sourceHandle": "llmAgentflow_0-output-llmAgentflow",
            "target": "conditionAgentflow_0",
            "targetHandle": "conditionAgentflow_0",
            "data": {
                "sourceColor": "#64B5F6",
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                "isHumanInput": false
            },
            "type": "agentFlow",
            "id": "llmAgentflow_0-llmAgentflow_0-output-llmAgentflow-conditionAgentflow_0-conditionAgentflow_0"
        },
        {
            "source": "conditionAgentflow_0",
            "sourceHandle": "conditionAgentflow_0-output-0",
            "target": "agentAgentflow_1",
            "targetHandle": "agentAgentflow_1",
            "data": {
                "sourceColor": "#FFB938",
                "targetColor": "#4DD0E1",
                "edgeLabel": "0",
                "isHumanInput": false
            },
            "type": "agentFlow",
            "id": "conditionAgentflow_0-conditionAgentflow_0-output-0-agentAgentflow_1-agentAgentflow_1"
        },
        {
            "source": "conditionAgentflow_0",
            "sourceHandle": "conditionAgentflow_0-output-1",
            "target": "agentAgentflow_2",
            "targetHandle": "agentAgentflow_2",
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                "edgeLabel": "1",
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            "type": "agentFlow",
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        },
        {
            "source": "conditionAgentflow_0",
            "sourceHandle": "conditionAgentflow_0-output-2",
            "target": "agentAgentflow_3",
            "targetHandle": "agentAgentflow_3",
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                "edgeLabel": "2",
                "isHumanInput": false
            },
            "type": "agentFlow",
            "id": "conditionAgentflow_0-conditionAgentflow_0-output-2-agentAgentflow_3-agentAgentflow_3"
        },
        {
            "source": "agentAgentflow_1",
            "sourceHandle": "agentAgentflow_1-output-agentAgentflow",
            "target": "loopAgentflow_0",
            "targetHandle": "loopAgentflow_0",
            "data": {
                "sourceColor": "#4DD0E1",
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                "isHumanInput": false
            },
            "type": "agentFlow",
            "id": "agentAgentflow_1-agentAgentflow_1-output-agentAgentflow-loopAgentflow_0-loopAgentflow_0"
        },
        {
            "source": "agentAgentflow_2",
            "sourceHandle": "agentAgentflow_2-output-agentAgentflow",
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            "targetHandle": "loopAgentflow_1",
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            },
            "type": "agentFlow",
            "id": "agentAgentflow_2-agentAgentflow_2-output-agentAgentflow-loopAgentflow_1-loopAgentflow_1"
        }
    ]
}
